In the "[DISCUSS] SystemML 0.11 release" thread, native frame support and API updates such as new MLContext were identified as main new features for the release. In addition, support for Spark 2.0.0 was targeted. Note code changes required for Spark 2.0.0 are not backward compatible to earlier Spark versions (e.g., 1.6.2) so starting separate mail thread for anyone to raise objections/alternatives for migrating to Spark 2.0.0.
One possible option is to do a release to include the new Apache SystemML features before migrating to Spark 2.0.0. However, it seems better to have the next Apache SystemML release compatible with latest Spark version 2.0.0. The Apache SystemML 0.10 release from June can be used with earlier versions of Spark. Regards, Glenn
